Killing Fields and Conserved Quantities along Geodesics

How symmetries of a metric yield first integrals of the geodesic equations.

This is a short note just to recall the calculation of an often useful fact in computing geodesics. First, some notation: let (M,g)(M,g) be a Riemannian / Lorentzian manifold, with a one-parameter group of isometries u↦(Φu ⁣:M→M)u\mapsto(\Phi_u\colon M\to M). The derivative of this 1 parameter family determines a vector field K(p)=ddu∣u=0Φu(p)K(p)=\frac{d}{du}\big|_{u=0}\Phi_u(p), known as the Killing Field corresponding to these isometries. These fields provide a direct link between the symmetries of MM and conserved quantities1 along its geodesics. Precisely,

TheoremKilling Fields, Geodesics, and Conserved Quantities

Let KK be a killing field of (M,g)(M,g) and γ\gamma a geodesic. Then the projection of KK onto the geodesic is a conserved: g(γ˙,K)=Constg(\dot{\gamma},K)=\mathrm{Const}

To show this is constant, we wish to show the derivative with respect to the geodesic parameter tt vanishes. Differentiating via the product rule,

ddtg(γ˙,K)=g(Ddtγ˙,K)+g(γ˙,DdtK)\frac{d}{dt}g(\dot{\gamma},K)=g\left(\frac{D}{dt}\dot{\gamma},K\right)+g\left(\dot{\gamma},\frac{D}{dt}K\right)

Where D/dtD/dt is covariant differentiation pulled back to the real line. As γ\gamma is a geodesic, Ddtγ˙=0\frac{D}{dt}\dot{\gamma}=0 by definition. And, as Ddt\frac{D}{dt} coincides with ∇γ˙\nabla_{\dot{\gamma}} for vector fields along a curve which are induced by smooth vector fields on MM, this becomes ddtg(γ˙,K)=0+g(γ˙,∇γ˙K)\frac{d}{dt}g(\dot{\gamma},K)= 0+g(\dot{\gamma},\nabla_{\dot{\gamma}}K). Thus, it suffices to show

g(γ˙,∇γ˙K)=0g\left(\dot{\gamma},\nabla_{\dot{\gamma}}K\right)=0

Here’s the big picture. The Lie derivative of the metric along a killing field is zero (we prove this in an appendix below): LKg≡0\mathcal{L}_K g \equiv 0

This directly implies via a calculation (which we also do in an appendix below) that if X,YX,Y are arbitrary vector fields on MM and KK is a killing field, g(∇XK,Y)+g(X,∇YK)=0g\left(\nabla_X K,Y\right)+g\left(X,\nabla_Y K\right)=0

Now set2 X=Y=γ˙X=Y=\dot{\gamma} and use the symmetry of the metric tensor: 0=g(∇γ˙K,γ˙)+g(γ˙,∇γ˙K)=2g(γ˙,∇γ˙K)0=g\left(\nabla_{\dot{\gamma}}K,\dot{\gamma}\right)+g\left(\dot{\gamma},\nabla_{\dot{\gamma}}K\right)=2g(\dot{\gamma},\nabla_{\dot{\gamma}}K)

That’s it! g(γ˙,∇γ˙K)g(\dot{\gamma},\nabla_{\dot{\gamma}}K) vanishes, and so g(γ˙,K)g(\dot{\gamma},K) is constant along geodesics as claimed.

Appendix: Lie Derivative of the Metric

Here we prove the fact that underlies our whole calculation:

Theorem

Let (M,g)(M,g) be a Riemannian manifold and KK a killing field on MM. Then the Lie derivative of gg vanishes along KK: LKg=0\mathcal{L}_Kg=0

The intuition for this result is clear from the definitions involved:

Here we turn this intuition into a short proof, using the geometric, or coordinate-invariant description of the Lie derivative. Setting up notation, let KK be a killing field and Φt\Phi_t the associated flow by isometries. The Lie derivative of gg at a point pp is calculated by comparing gpg_p to gg a bit further along the flow gΦt(p)g_{\Phi_t(p)}. As these two tensors are based at different points of MM we cannot compare them directly, but instead must pull back to p. That is, the well-defined difference is

[(Φt)∗gΦt(p)]p−gp\left[(\Phi_t)^\ast g_{\Phi_t(p)}\right]_p - g_p. This difference tends to zero as t→0t\to 0, and the derivative is defined as usual, as the rate this quantity vanishes in comparison to tt:

(Lkg)p=lim⁡t→0[(Φt)∗gΦt(p)]−gpt(\mathcal{L}_kg)_p = \lim_{t\to 0}\frac{\left[(\Phi_t)^\ast g_{\Phi_t(p)}\right] - g_p}{t}

Alright, with the formal definition out of the way, we can turn to the case of interest, where KK is a killing field so Φt\Phi_t is a flow by isometries. By the very definition of isometry3 being a map which leaves the Riemannian metric invariant, we have (Φt)∗gΦt(p)=gp(\Phi_t)^\ast g_{\Phi_t(p)}=g_p, so the numerator of our difference quotient is constant, and equal to zero. Thus, the limit is zero, and the Lie derivative of gg is zero, as claimed.

Appendix: Killing Fields and the Metric

Here we prove that if KK is a killing field and X,YX,Y are arbitrary vector fields on MM then g(∇XK,Y)+g(X,∇YK)=0g(\nabla_X K,Y)+g(X,\nabla_Y K)=0. In fact, we give a computation of the metric’s Lie derivative along an arbitrary vector field, and then specify to the required case using that this quantity vanishes along Killing fields.

First, a note on remembering how operators (like the Lie derivative, or covariant derivative) extend to general tensors. Say that TT is some tensor that takes in vector fields X,YX,Y and ⋆\star is some operator. If you think of applying the tensor TT as a kind of multiplication (for instance, when TT is written like a generalized matrix), then the Leibniz rule for differentiating a product implies a formula for ⋆\star applied to the smooth function T(X,Y)T(X,Y):

⋆(T(X,Y))=[⋆T](X,Y)+T(⋆X,Y)+T(X,⋆Y)\star\left(T(X,Y)\right)=[\star T](X,Y)+T(\star X, Y)+T(X,\star Y)

If we already know how to define ⋆\star on smooth functions and on (co-)Vector fields, we can view such a rule as implicitly defining ⋆\star on the tensor TT: [⋆T](X,Y)=⋆(T(X,Y))−T(⋆X,Y)−T(X,⋆Y)[\star T](X,Y)=\star(T(X,Y))-T(\star X,Y)-T(X,\star Y)

We use this to explicitly compute the derivative LV\mathcal{L}_V of the metric tensor gg below.

TheoremLie Derivative of the Metric

Let VV be a vector field on the Riemannian manifold (M,g)(M,g). Then the derivative of the metric along VV can be computed in terms of the Levi-Civita connection ∇\nabla as LVg=g(∇(−)K,−)+g(−,∇(−)K)\mathcal{L}_Vg=g(\nabla_{(-)}K,-)+g(-,\nabla_{(-)}K)

Proof

Let X,YX, Y be arbitrary vector fields on MM. Then the Lie derivative LV\mathcal{L}_V extends naturally from smooth functions and vector fields to the metric tensor as

[LVg](X,Y):=LV(g(X,Y))−g(LVX,Y)−g(X,LVY)[\mathcal{L}_V g](X,Y):=\mathcal{L}_V(g(X,Y))-g(\mathcal{L}_V X,Y)-g(X,\mathcal{L}_VY)

We begin by computing the terms on the right. As g(X,Y)g(X,Y) is a real valued function on MM, the Lie derivative along KK coincides with the directional derivative LVg(X,Y)=Vg(X,Y)\mathcal{L}_V g(X,Y)=Vg(X,Y). And, on vector fields the Lie derivative is realized as the Lie Bracket LVX=[V,X]\mathcal{L}_V X=[V,X]. Performing these substitutions,

[LVg](X,Y)=Vg(X,Y)−g([V,X],Y)−g(X,[V,Y])[\mathcal{L}_V g](X,Y)=Vg(X,Y)-g([V,X],Y)-g(X,[V,Y])

These Lie brackets are directly related to covariant derivatives as the Levi-Civita connection is torsion free: [A,B]=∇AB−∇BA[A,B]=\nabla_A B-\nabla_B A. Using this on each of the above brackets and expanding using the bilinearity of gg yields g([V,X],Y)=g(∇VX−∇XV,Y)=g(∇VX,Y)−g(∇XV,Y)g([V,X],Y)=g\left(\nabla_V X-\nabla_X V,Y\right)=g\left(\nabla_V X,Y\right)-g\left(\nabla_X V,Y\right) g(X,[V,Y])=g(X,∇VY−∇YV)=g(X,∇VY)−g(X,∇YV)g(X,[V,Y])=g\left(X,\nabla_V Y-\nabla_Y V\right)=g\left(X,\nabla_V Y\right)-g\left(X,\nabla_Y V\right)

Substituting these into the original and collecting similar terms,

[LVg](X,Y)=Vg(X,Y)−g(∇VX,Y)−g(X,∇VY)+g(∇XV,Y)+g(X,∇YV)\begin{align} [\mathcal{L}_V g](X,Y) = & Vg(X,Y)-g(\nabla_V X,Y)-g(X,\nabla_V Y)\\ &+ g(\nabla_X V,Y)+g(X,\nabla_Y V) \end{align}

The first three terms taken together are zero, as this is precisely the compatibility condition of the Levi-Civita connection with the metric: Vg(X,Y)=g(∇VX,Y)+g(X,∇VY)Vg(X,Y)=g(\nabla_V X,Y)+g(X,\nabla_V Y)

Thus [LVg](X,Y)=g(∇XV,Y)+g(X,∇YV)[\mathcal{L}_Vg](X,Y)=g(\nabla_X V,Y)+g(X,\nabla_Y V) as claimed

Corollary

If KK is a killing field, then LKg=0\mathcal{L}_Kg=0, so g(∇XK,Y)+g(X,∇YK)=0g(\nabla_X K,Y)+g(X,\nabla_Y K)=0

Footnotes

  1. Precisely, g(γ˙,K)g(\dot{\gamma},K) is shorthand for the function R→R\mathbb{R}\to\mathbb{R} given by t↦gγ(t)(γ(t)˙,K(γ(t)))t\mapsto g_{\gamma(t)}(\dot{\gamma(t)},K(\gamma(t))). We prove this function is constant. ↩

  2. Really, set XX and YY to smooth extensions of γ˙\dot{\gamma} to MM. ↩

  3. A map f ⁣:M→Mf\colon M\to M is an isometry if it preserves the metric tensor: gp(X,Y)=gf(p)(f⋆X,f⋆Y)g_p(X,Y)=g_{f(p)}(f_\star X, f_\star Y) for all p∈Mp\in M and X,Y∈TpMX,Y\in T_p M.
    Recall f⋆gf^\star g along a map ff is defined as (f⋆g)p(X,Y)=f⋆gf(p)(X,Y):=gf(p)(f⋆X,f⋆Y)(f^\star g)_p(X,Y)=f^\star g_{f(p)}(X,Y):=g_{f(p)}(f_\star X, f_\star Y). Thus, for an isometry (f⋆g)(X,Y)=g(X,Y)(f^\star g)(X,Y)=g(X,Y). ↩

← All notes